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... School Page49
Knowledge Base System Basic Knowledge
3.3.3 DFD level 1 for Content Management function
2.1
Post an
article
2.2
Update
article
2.3
Rate articles
Students
Lecturers
Post an article
Post...
... original article
and a reply article
ArticleRatePoint decimal 5(4,2) >1 0
Points a user rates for an
article (based on 10 scale)
ArticleRateCount smallint 2 1 32767 0
Times that an article ... read articles
5
WritePermission Permission to write articles
6
EditPermission Permission to edit articles
7
DeletePermission Permission to delete articles
ArticleType File
ArticleType file or ArticleType ... 0701-022-0067
Knowledge Base System System Guide
Article Record
Field name Data Type Length Scope Null
Default
Value
Description
ArticleID autonumber 4 1 2^31
The unique number defines an
article
ArticleName...
... Edit,
Delete
ArticleName, ArticleTypeDesc,
ReplyPermission
ArticleType Table
Insert, Update, Edit,
Delete
ArticleName, ArticleKeyword, ArticleContent,
ArticleRatePoint, ArticleRateCount
Article ... Page28
Knowledge Base System User Guide
1.6 DATABASE DESIGN
1.6.1 Normalized Forms
Normalized database of the KnowledgeBase System has six tables in 3NF: User Table,
Category Table, ArticleType ... user who commented the
article
4
CommentText Comments about an article
HUT – Genetic Computer School Page32
Knowledge Base System User Guide
Article File
Article file or Article table plays a...
... data auto-
matically and filter spurious answers.
5.2 Use of External KnowledgeBase
Many instance-centered knowledge bases that have
harvested Wikipedia are proliferating on the se-
mantic ...
information from news and web unstructured data
instead of manually constructed knowledge bases,
but these existing knowledge bases can provide a
large number of seed tuples to bootstrap slot filling ... Shi. 2010. LCC Approaches to
Knowledge Base Population at TAC 2010. Proc.
TAC 2010 Workshop.
Paul McNamee and Hoa Dang. 2009. Overview of the
TAC 2009 KnowledgeBase Population Track. Proc....
... text
retrieval
systemuser
text
knowledge
base
dialog for clarifying
vague questions
dialog
cards
dialog for fixing
speech recognition
errors
Figure 1: Architecture.
text knowledgebase provided by Microsoft
Corporation ... for significant parts
based on confidence in recognition. After that, the
system retrieves relevant texts in the text knowledge
base using each candidate, and makes confirmation
based on significance ... Therefore, we proposed a spoken dialog
Q-A system which substitute for call centers, based
on only large text knowledge base.
If we consult a call center, an operator will help
us through a dialog....
... ac-
quired knowledge bases and from web services.
In this paper we describe the current status of
the SmartWeb Ontology-Based Annotation
(SOBA) system. SOBA automatically populates
a knowledgebase ... "Buchwald";
dolce#FIRSTNAME -> "Guido"].
124
2.4 KnowledgeBase Visualization
The generated knowledgebase is visualized by
way of automatically inserted hyperlink menus
for ... use
semantics- and XML-based natural language
processing components.
The linguistically annotated documents are
further processed by the transformation
component, which generates a knowledge base
of soccer-related...
... require arbitrarily detailed world
knowledge and that a sophisticated natural language sys-
tem must have a large knowledge base. But heretofore, the
knowledge bases in natural language systems ... language system requires a
large knowledge base. A methodology is described for con-
structing one in a principled way. Facts are selected for the
knowledge base by determining what facts are ... constitutes a manageable and princi-
pled midway point between these simple
knowledge bases
and the impossibly detailed knowledge bases that people
seem
to use.
The work described in this paper has...
... article, but all articles in the same
connected component) as well as superordinate par-
ent candidates (parents of parents, etc.), as depicted
in Figure 2. We then construct a Markov chain based
on ... languages.
Data Structures Under the hood, each plugin re-
lies on a disk-based associative array to store the
knowledge base as a labelled multi-graph. The out-
going labelled edges of an entity ... (right), shown in a simplified form
Figure 3: UWN with named entities
Results Overall, we obtain a knowledgebase with
5.4 million concepts or entities and 16.7 million
words or names associated with...
... entity
knowledge we explained earlier: P(e) corresponds
to the popularity knowledge, P(s|e) corresponds to
the name knowledge and P(c|e) corresponds to the
context knowledge.
Knowledge Base
Michael ... leverage
heterogenous entity knowledge (including
popularity knowledge, name knowledge and
context knowledge) for the entity linking task;
2) By modeling the entity knowledge as
probabilistic ... like the
Read the Web
2
project, more and more large-scale
knowledge bases are available. These knowledge
bases contain rich knowledge about the world’s
entities, their semantic properties,...
... Search Engine
It is normal that some times a QA system cannot
find any answer from the working knowledge
base for a question. This doesn't mean there is no
answer for the question. In this case, ... from CNN Web site and some
of its sub sites. We believe that it has been the
largest size of knowledgebase for QA tasks at
current time. And the designed size can be much
bigger than the size we ... feasible. Most techniques
used in original AnswerBus System can be
[5]
scalable to large size knowledgebase and still
gets high accuracy.
References
[1]
John Burger et al. Issues, Tasks and Program
[6]
Structures...
... cannot be the case in base station cooperation,
since signals from cooperating base stations may contain
desired signal components or the interference from the coop-
erating base station can be ... Journal on Wireless Communications and Networking
Volume 2010, Article ID 406749, 17 pages
doi:10.1155/2010/406749
Research Article
Impact of Base Station Cooperation on Cell Planning
Ian Dexter Garcia,
1
Naoki ... Sakaguchi, N. Kusashima, K. Araki, S. Kaneko,
and T. Inoue, “Cell planning of fractional base station
cooperation network based on MIMO channel model,” Tech.
Rep. AP2008-233, IEICE, March 2009.
[20] 3GPP...
... on the
base are large.
The table shows that as r
c
increases, we can save up to two
bits on the second -base exponent by using an optimal second
base rather than 3. The size of the second -base exponent
plays ... performance for ternary and optimal base (single-digit).
r
c
Base 3 Optimal base
Passband ripple (dB) Stop band attenuation (dB) Passband ripple (dB) Stop band attenuation (dB) Base
1 0.5147 24.2840 0.1498 ... performance for ternary and optimal base (two-digit).
r
c
Base 3 Optimal base
Passband ripple (dB) Stop band attenuation (dB) Passband ripple (dB) Stop band attenuation (dB) Base
1 0.0314 48.8313 0.0013...
... the
correlation-based zero -knowledge detectors.
8. CONCLUSIONS
The presented zero -knowledge watermark detection pro-
tocol based on generalized Gaussian ML detector outper-
forms the previous correlation-based ... approach, zero -knowledge watermarking,
makes use of zero -knowledge (ZK) protocols [1]inorderto
get a secure communication layer over a pre-existent sym-
metric protocol. In zero -knowledge watermark ... [5]—are
based on correlation detectors, for which blind sensitivity at-
tacks are especially efficient.
In this paper, a new zero -knowledge blind watermark de-
tection protocol is presented; it is based...